Application Of The Automated System-Cognitive Analysis For Solving Problems Of Genetics

E.V. Lutsenko, L.P. Troshin (), A.S. Zviagin and A.V. Milovanov
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E.V. Lutsenko: Kuban State Agrarian University, Russia, Krasnodar, Kalinina 13
L.P. Troshin: Kuban State Agrarian University, Russia, Krasnodar, Kalinina 13
A.S. Zviagin: Kuban State Agrarian University, Russia, Krasnodar, Kalinina 13
A.V. Milovanov: Kuban State Agrarian University, Russia, Krasnodar, Kalinina 13

Journal of Mechanical Engineering Research & Developments (JMERD), 2018, vol. 41, issue 2, 1-8

Abstract: This article describes an approach that provides the calculation of the amount of information in the genes about the characteristics or properties of different grape cultivars. A specific phenotypic property is considered as a noisy genetic text that includes both genetic information about the true phenotypic property (pure signal). For this purpose, automated system-cognitive analysis (ASK-analysis) and its software tools – the intelligent Eidos system are used. A numerical example based on real data is presented, confirming the effectiveness of the proposed approach.

Keywords: Automated system-cognitive analysis; "Aidos" system; grapevine varieties; DNA fragmenJournal: Journal of Mechanical Engineering Research and Developments (JMERD) Volume: 41 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:41:y:2018:i:2:p:1-8

DOI: 10.26480/jmerd.02.2018.01.08

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